Bltn Madal Iskaashiga Sirdoonka Macmalka ah oo uu sameeyey Chiwon Lee

Naqshadda Bltn Madal Iskaashiga Sirdoonka Macmalka ah oo uu sameeyey Chiwon Lee waa mid aad u sharaf badan oo ku guulaysatay tartanka qaybta Naqshadeynta Softweyrka ee 2024 Abaalmarinta Naxaasta ah ee A' Design Award.

NaxaasSoftweyr· 2024

Bltn Madal Iskaashiga Sirdoonka Macmalka ah

Chiwon Lee uu sameeyay

Macmiilka: Multitude Insights

Ku Guuleystaha Abaalmarinta Naxaasta ah ee A' Design Award ee Qaybta Softweyr

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Ku Guuleystaha Abaalmarinta La Xaqiijiyey

Xaqiiji Xaaladda Abaalmarinta #154690

Ka Eeg A' Design Award War-saxaafadeed Calaamadda Abaalmarinta

Midabada

Naqshadeynta

Wax ku saabsan Bltn Madal Iskaashiga Sirdoonka Macmalka ah

BLTN waa madal Adeegga Software (SaaS) ah oo isku-dhafaya Tignoolajiyada Habaynta Luqadda Dabiiciga ah (NLP) iyo Sirdoonka Macmalka ah (AI) si loo fududeeyo dadaalada badbaadada dadweynaha Tignoolajiyada Dawladda (GovTech). BLTN waxay fududeysaa gelitaanka xogta iyo wadaagida saraakiisha ilaalinta sharciga, iyada oo hubinaysa hawlgal aan kala go' lahayn. Raadinta horumarsan waxay isticmaashaa algorithms qalafsan si wax ku ool ah loogu aqoonsado kiisaska. Ku-darka AI wuxuu kordhiyaa xawliga iyo saxnaanta xalinta dambiyadda. Naqshadaynta BLTN ee ku habboon oo shaqada leh waxay bixisaa xalalko toos ah, taasoo ka dhigaysa hanti qiimo leh hay'adaha ilaalinta sharciga.

Aqoonsiga

Wax ku saabsan Abaalmarinta Naxaasta ah ee A' Design Award

Bltn Madal Iskaashiga Sirdoonka Macmalka ah waa guuleystaha Abaalmarinta Naxaasta ah ee A' Design Award, aqoonsi sharaf sare leh oo la siiyo naqshado aan caadi ahayn oo lagu garto hal-abuur, hal-abuur cusub iyo caqli. Guuleystayaasha Naxaasta waa shaqooyin xirfad buuxda leh iyo hal-abuur yaab leh oo xaqiijiya khibrad weyn, male-awaal iyo kartida naqshadeeyayaashooda. Bltn Madal Iskaashiga Sirdoonka Macmalka ah waa walax la filayo inay noqoto mid aad loo tixgeliyo, la ixtiraamo oo la jecel yahay, xirfad cad leh oo hal-abuur cusub leh. Naqshadahan ku guuleystay Abaalmarinta Naxaasta ah ee A' Design Award wuxuu ku darsadaa hab-dhaqanno ugu wanaagsan farshaxanka, sayniska, naqshadaynta iyo tignoolajiyada wuxuuna ku fiican yahay dhawrista tafaasiisha. Bltn Madal Iskaashiga Sirdoonka Macmalka ah si fiican ayay u buuxisaa baahiyaha, taabataa rabitaannada, soo jiidataa dareenka kicinayaanna xiisaha aqoonta.

Gadaasha Naqshadeynta

Xirmada Warbaahinta

Shahaadooyinka, xubnaha kooxda iyo faahfaahinta farsamada ee uu bixiyay naqshadeeluhu.

Sifooyinka Gaarka ah: BLTN is an AI-powered information-sharing platform for police officers. As officers upload crime data into BLTN, the AI looks for connections between them and intelligently alerts users. BLTN uses NLP and object recognition to look for clues that can unlock a case, especially for crimes that span multiple jurisdictions. Then, users connect through on-platform messaging and collaborative analysis tools. BLTN has successfully solved burglary, gang, and missing child cases across the U.S.
Cabbirka & Qaabaynta: Web dimensions are 1440 px * 1024 px. BLTN is a B2G SaaS product available on the Web and Mobile that is FBI CJIS certified. It is only available to licensed and authorized individuals in the law enforcement space.
Summado: Artificial Intelligence, Natural Language Processing, Public Safety, Collaboration, Information Sharing, Digital Infrastructure, Civic Technology, Crime Reduction
Tiknoloojiyada Soo Saarka: The platform is hosted on AWS and powered by NLP and AI. The NLP aids the search feature and the AI enables the recommendation and detection feature. An advanced Geographic Information System (GIS) technology is employed to enable the geo-visualization of crime data. The design was primarily carried out in Figma by using a design system and informed by quantitative and qualitative research with real users. The qualitative research was analyzed via open coding and affinity diagramming.
Caqabadda Naqshadda: The challenge is that BLTN is addressing a data heavy and complex space that requires advanced levels of security and visibility controls due to the nature of the law enforcement industry. BLTN also has a variety of features powered by advanced technology that need to be compatible with each other. It was challenging to ensure the data is easy to consume, easy to navigate, and easy to share while also applying technological advances to aid the users in the law enforcement space.
Cilmi-baadhis: Qualitative research was conducted on law enforcement officers that are users of BLTN with the objective of understanding user pain points and user needs. Semi-structured interviews and task analysis was conducted via online conferencing tools. The research data was analyzed through open coding and affinity diagramming. The software version with user insights applied has been selected as the central communications platform for the High Intensity Drug Trafficking Area (HIDTA) program.
Dhiirrigelinta: More than 50% of crimes in the United States remain unsolved. This is primarily because very few inter-agency data sharing initiatives exist, so criminals can easily move between jurisdictions. Further, it is difficult to upload and share data as existing platforms require manual entry. Because of these disconnected and manual systems, detecting trends and connections between crimes is an incredibly complex problem given the size and scope of data uploaded daily.
Muddada Mashruuca: BLTN was published in May, 2022, and the design project for refining BLTN started in May, 2023 and finished in September, 2023 in the United States.
Socodka Hawlgalka: Police users log in and can view posts from other users and agencies in their area. They can view these in a grid or geo-referenced manner. As officers post, an AI scans all media, text, and unstructured data for connections. Users are alerted to relevant links and put in contact with the relevant agencies/users via on-platform messaging. Users can link data through link controls and visualize linkages on the map or evidence board views helping to solve the crime.
Xubnaha Kooxda: Chiwon Lee
Yeun Soo (Lauren) Choi
Minjung Kim
Seongbin Lee
Seowon Park